Saakshi Chauhan | Forestry | Women Researcher Award

Dr. Saakshi Chauhan | Forestry | Women Researcher Award

Guest Faculty at Dr. Yashwant Singh Parmar University of Horticulture & Forestry | India

Dr. Saakshi Chauhan is a dedicated forestry researcher specializing in agroforestry, geospatial analysis, silviculture, and tree improvement, currently contributing to research, extension, and educational activities as a Project Fellow at the Forest Research Institute, Dehradun; she holds a strong academic foundation with advanced degrees in Forestry (Agroforestry) from Dr. YSP UHF Nauni, Solan, and has established an impressive profile through her work on agroforestry suitability mapping, carbon sequestration, nutrient management, and bio-economic evaluation of agrisilvicultural systems; throughout her career, she has demonstrated expertise in remote sensing, economic analysis, natural resource management, and integrated land-use systems, supported by her ability to perform under pressure, collaborate effectively, lead student associations, and contribute to scientific magazines and professional societies, including her membership in IUFRO, ATDS, and the International Journal of Economic Plants; her research contributions encompass studies on growth and yield responses of legumes under Morus-based systems, bio-economic assessments, carbon stock potential in cereal and pulse-based agroforestry systems, altitudinal variability in biomass and carbon storage, integrated nutrient management in wheat and lentil intercropping under agroforestry, and geospatial evaluation of groundwater potential zones; she has authored multiple publications in reputed journals, contributed book chapters on the role of agroforestry in reclaiming problematic soils, and presented her work at major international conferences on sustainable agriculture, food security, value-chain development, and biodiversity conservation; recognized with merit certificates, scholarships, and a prestigious Best M.Sc. Thesis Award, Dr. Saakshi continues to advance scientific understanding and promote sustainable agroforestry practices for environmental resilience and rural development.

Profile : Scopus 

Featured Publications : 

AuthorLastName, A. A., AuthorLastName, B. B., & AuthorLastName, C. C. (n.d.). Suitability mapping of agroforestry in Shimla district, Himachal Pradesh, India, using analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (Fuzzy AHP). Agroforestry Systems. Advance online publication.

Xingzhao Huang | Forestry | Best Researcher Award

Prof. Xingzhao Huang | Forestry | Best Researcher Award

Prof. Xingzhao Huang is an Associate Professor at the School of Forestry and Landscape Architecture, Anhui Agricultural University. He holds a Ph.D. in Silviculture from the Chinese Academy of Forestry and has over a decade of academic and research experience, including a visiting appointment at Northern Arizona University. His research focuses on forest ecosystem services, nutrient cycling, soil acidification, and tree biomass modeling. He has led and contributed to several national and provincial research projects, published multiple high-impact papers as first author in reputed journals such as Science of The Total Environment and Forest Ecology and Management, and co-authored a scientific monograph. He played a key role in developing a national technical standard for hickory cultivation (LY/T2131-2019). Prof. Huang’s work bridges theoretical ecology and applied forestry, demonstrating strong contributions to sustainable forest management. His dedication and research impact make him a noteworthy candidate for academic and scientific recognition.

Professional Profile 

Education 🎓

Prof. Xingzhao Huang has a solid and progressive academic background in forestry and biological sciences. He earned his Ph.D. in Silviculture from the Chinese Academy of Forestry between 2011 and 2014, where he conducted advanced research in forest cultivation and ecosystem dynamics. Prior to that, he completed his Master’s degree in Silviculture at Zhejiang A&F University from 2008 to 2011, gaining specialized knowledge in forest growth, regeneration, and management. His academic journey began with a Bachelor’s degree in Biotechnology from Yunnan University, completed between 2003 and 2007, which provided him with a strong foundation in plant biology, molecular techniques, and scientific analysis. This diverse and interdisciplinary educational pathway has equipped Prof. Huang with a broad and integrative understanding of forest ecosystems, enabling him to contribute effectively to both basic and applied research in forestry, particularly in areas like nutrient cycling, tree biomass estimation, and sustainable forest development.

Professional Experience 💼

Prof. Xingzhao Huang has accumulated over a decade of professional experience in academic teaching and forest ecology research. Since 2019, he has served as an Associate Professor at the School of Forestry and Landscape Architecture, Anhui Agricultural University, where he contributes to both undergraduate and graduate education, as well as scientific research. From 2014 to 2018, he worked as a Lecturer at the same institution, building his foundation in silviculture and ecosystem studies. Between 2019 and 2020, he expanded his international research experience as a visiting scholar at Northern Arizona University’s Center for Ecosystem Science and Society, engaging in collaborative projects on global ecological change. Throughout his career, Prof. Huang has led and participated in multiple national and provincial research projects, authored significant publications, and contributed to technical standards in forestry. His professional journey reflects a commitment to advancing forest science and promoting sustainable land and resource management through interdisciplinary approaches.

Research Interest 🔬

Prof. Xingzhao Huang’s research interests lie at the intersection of forest ecology, silviculture, and ecosystem services, with a strong focus on understanding and managing forest functions in the context of global environmental change. He is particularly interested in nutrient cycling processes—especially nitrogen and phosphorus resorption in forest foliage—and how these dynamics influence forest productivity and sustainability. His work also explores the impact of afforestation on soil acidification at regional and global scales, providing insights into the ecological consequences of land-use change. Additionally, Prof. Huang investigates allometric modeling of aboveground biomass in relation to tree phylogeny, aiming to improve the accuracy of forest carbon stock assessments. His research extends to applied topics, such as quality enhancement techniques in hickory and walnut plantations. By integrating field experimentation, data modeling, and ecosystem theory, Prof. Huang’s work contributes valuable knowledge for forest management, climate mitigation, and the optimization of ecosystem service valuation.

Research Skill🔎

Prof. Xingzhao Huang possesses a wide range of advanced research skills that support his work in forest ecology and silviculture. He is proficient in field-based ecological data collection, including long-term forest monitoring, nutrient sampling, and soil-plant interaction assessments. His expertise extends to experimental design and statistical analysis, employing tools such as R and SPSS to model ecosystem processes and evaluate forest dynamics under changing environmental conditions. Prof. Huang is skilled in allometric modeling to estimate tree biomass and carbon storage, as well as in evaluating nutrient resorption efficiency and soil acidification impacts across forest types. He is adept at synthesizing large datasets to identify global patterns, as demonstrated in his international publications. Additionally, he has experience leading interdisciplinary research teams and managing national and provincial research projects. His ability to integrate theoretical concepts with applied practices makes his research skills highly relevant to sustainable forest management and policy-oriented ecological studies.

Award and Honor🏆

Prof. Xingzhao Huang has earned recognition for his impactful contributions to forest ecology and applied silviculture, particularly through his involvement in national and regional scientific advancements. One of his most notable achievements is his role as a lead contributor to the formulation of the national standard “Technical Regulations for the Cultivation of Chinese Hickory (LY/T2131-2019)”, issued by the National Forestry and Grassland Administration. This standard provides critical guidelines for hickory cultivation and reflects his influence on forestry practices in China. In addition to this technical recognition, Prof. Huang has been actively involved in several key scientific research projects funded by the National Natural Science Foundation and the Ministry of Agriculture, often serving as principal investigator. While specific personal awards or honors are not explicitly listed in his profile, his leadership in establishing national standards, his publication record, and his contributions to high-impact research clearly demonstrate his respected status within the forestry and ecological science community.

Conclusion📝

Dr. Xingzhao Huang is a strong and promising candidate for the Best Researcher Award. His clear track record in forest ecology, commitment to applied research, and role in standard-setting for forestry position him as an impactful researcher. With more global collaborations and recognition, his candidacy would be even more compelling.

Publications Top Noted📚

  1. Zhang, Yichen; Ge, Xiaomin; Li, Qiang; … Huang, Xingzhao; Qian, Zhuangzhuang

    • Year: 2025

    • Title: Continuous organic mulching enhances the stability of soil organic carbon in Phyllostachys praecox: A 5-year in situ experiment

    • Journal: Soil Ecology Letters

  2. Yang, Chengjun; Jiang, Panmei; Qian, Zhuangzhuang; … Sun, Yue; Huang, Xingzhao

    • Year: 2025

    • Title: Evolutionary history of mixed tree species improved soil nutrient content of Pinus massoniana plantation

    • Journal: (Journal name not specified in your input, assuming same or similar scope